Comparison of different Health and Nutrition Management Apps: A Comprehensive Analysis
Keywords:Mobile apps, health and nutrition, fitness app growth
The usage of smartphones has increased at an exponential rate. With the increase in workload pressure and changing lifestyles, the importance of health has increased in today’s world. Elderly and Senior Citizen wants to track nutrients and exercises per pre-vailing health issues in the body. Youngsters wish for fitness and body shaping. Teen-agers are busy preparing for exams and other things, similarly, nutrients are required to get energy. Considering this increased awareness of health and nutrients, this review paper compares existing health and nutrition management apps. The paper will help the users to gain insight into various existing technologies and apps.
D. Bura, A. Choudhary, R.K Singh, “A Novel UML Based Approach for Early Detection of Change Prone Classes,” International Journal of Open-Source Software and Processes (IJOSSP), vol. 8, no. 3, pp. 1-23, 2017.
D. Bura, A. Choudhary, “A novel change impact model for enhancing project management,” International Journal of Project Organization and Management, vol. 12, no.2, pp. 119-132, 2020.
D. Bura, A. Choudhary, “Enhancing Behavioral Dependency for Effective Computing in Software,” International Journal of System Dynamics Applications (IJSDA), vol. 11, no. 2, pp. 1-23, 2021.
D. Bura, A. Choudhary, “Enhancing Information Retrieval System Using Change-Prone Classes,” In Research Anthology on Usage and Development of Open Source Software, pp. 566-595. IGI Global 2021.
D. Chao, B. Dikes, H. Luo, et al., “Nutrient limitation identifies a fitness advantage for polyploids,” 2013.
J. Chen, J. Lifers, A. Bauman, et al.,” The use of smartphone health apps and other mobile health (mHealth) technologies in dietetic practice: a three country study,” Journal of Human Nutrition and Dietetics: The Official Journal of the British Dietetic Association, vol. 30, no. 4, pp. 439–452, 2017.
R. Z. Franco, R. Falaise, J. A. Lovegrove, et al., “Popular nutrition-related mobile apps: a feature assessment,” JMIR mHealth and uHealth, vol. 4, no. 3, 2016.
D. Godara, A. Choudhary, R. K. Singh, “Predicting change prone classes in open source software,” In Research Anthology on Usage and Development of Open Source Software, pp. 653-675, IGI Global 2021.
D. Godara, A. Choudhary, R. K. Singh, “A new hybrid model for predicting change prone class in object-oriented software,” International Journal of Computer Science and Telecommunications, vol. 5 no. 7, pp. 1-6, 2014.
D. Godara, R. K. Singh, “A review of studies on change proneness prediction in object-oriented software,” International Journal of Computer Applications, vol. 105, no. 3, 2014.
D. Godara, R. K. Singh,” Improving change proneness prediction in UML based design models using ABC algorithm,” In Inter-national Conference on Advances in Computing, Communications and Informatics (ICACCI) IEEE, pp. 1296-1301, 2014.
D. Godara, R. K. Singh,” Exploring the relationships between design measures and change proneness in object-oriented sys-tems, “International Journal of Software Engineering Technology and Applications, vol. 2, no. 1, pp. 64-80, 2017.
C. Griffiths, L. Harnack, M. A. Pereira, “Assessment of the accuracy of nutrient calculations of five popular nutrition tracking applications,” Public health nutrition, vol. 21, no. 8, pp. 1495-1502, 2018.
L. M. König, C. Attig, T. Franke et al., “Barriers to and facilitators for using nutrition apps: systematic review and conceptual framework,” JMIR mHealth and uHealth, vol. 9, no. 6, 2021.
N. Mehra, S. Aggarwal, A. Shokeen et al., “Analyzing cloud computing security issues and challenges. In Progress in Compu-ting, Analytics and Networking, “Springer Singapore. pp. 193-202, 2018.
A. Najm, L. Gossec, C. Weill et al., “Mobile health apps for self-management of rheumatic and musculoskeletal diseases: sys-tematic literature review, “JMIR mHealth and uHealth, vol. 7, no. 11, e 14730, 2019.
R. Rockmann, H. Gewald, “Individual fitness app use: the role of goal orientations and motivational affordances,” 2019.
K. Wang, D.S. Varma, M. Prosperi, “A systematic review of the effectiveness of mobile apps for monitoring and management of mental health symptoms or disorders, “Journal of psychiatric research, vol. 107, pp. 73-78, 2018.
J. H. West, L.M. Belvedere, R. Andreasen et al., “Controlling your “app” etite: how diet and nutrition-related mobile apps lead to behavior change,” JMIR mHealth and uHealth, vol. 5, no. 7, e7410, 2017.
M. Zhou, Y. Mintz, Y. Fukuoka et al., “Personalizing mobile fitness apps using reinforcement learning, “In CEUR workshop proceedings. 2068, NIH Public Access, 2018.
How to Cite
Copyright (c) 2022 Deepa Bura, Tushar Saini, Aman Negi
This work is licensed under a Creative Commons Attribution 4.0 International License.